2012 11th International Conference on Machine Learning and Applications (ICMLA 2012)

Boca Raton, Florida, USA 12 – 15 December 2012

Volume 1 Pages 1-706

IEEE Catalog Number: ISBN:

1/2

CFP12592-PRT 978-1-4673-4651-1

2012 11th International Conference on Machine Learning and Applications

ICMLA 2012 Table of Contents

Volume - 1 Preface - Volume 1....................................................................................................................................xvi Conference Organization - Volume 1.....................................................................................................xviii Program Committee - Volume 1................................................................................................................xx Workshops and Special Sessions - Volume 1......................................................................................xxiv Keynotes - Volume 1...............................................................................................................................xxix

Session 1: Recognition and Detection Application of Structural Case-Based Reasoning to Activity Recognition in Smart Home Environments .......................................................................................................................1 Steven Satterfield, Thomas Reichherzer, John Coffey, and Eman El-Sheikh Detecting Web Robots Using Resource Request Patterns ..........................................................................7 Derek Doran and Swapna S. Gokhale Automatically Detecting Avalanche Events in Passive Seismic Data .........................................................13 Marc J. Rubin, Tracy Camp, Alec Van Herwijnen, and Jürg Schweizer Sparse Dictionary Reconstruction for Textile Defect Detection ..................................................................21 Jian Zhou, Dimitri Semenovich, Arcot Sowmya, and Jun Wang Convolutional Neural Support Vector Machines: Hybrid Visual Pattern Classifiers for Multi-robot Systems .............................................................................................................27 Jawad Nagi, Gianni A. Di Caro, Alessandro Giusti, Farrukh Nagi, and Luca M. Gambardella Introducing Subspace Grids to Recognise Patterns in Multidimensinal Data .............................................33 M. Arif Wani

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Session 2: Face Recognition Face Recognition in the Virtual World: Recognizing Avatar Faces ............................................................40 Roman V. Yampolskiy, Brendan Klare, and Anil K. Jain Subject-Independent Facial Expression Recognition with Biologically Inspired Features ......................................................................................................................................................46 Weifeng Liu, Caifeng Song, and Yanjiang Wang Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition ...................................................................................................................................51 Naiyang Guan, Xiang Zhang, Zhigang Luo, and Long Lan Adaptive Extended Local Ternary Pattern (AELTP) for Recognizing Avatar Faces ..........................................................................................................................................................57 Abdallah A. Mohamed and Roman V. Yampolskiy

Session 3: Machine Learning in Bio-informatics and Computational Biology I Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection .....................................................................................................................................................63 Randall Wald, Taghi M. Khoshgoftaar, and David Dittman SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry ..............................................70 Antoine Veillard, Stéphane Bressan, and Daniel Racoceanu Effective Enrichment of Gene Expression Data Sets .................................................................................76 Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, and Reda Alhajj Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data .....................................................................................................................82 David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, and Amri Napolitano A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes ...........................................................................................................................90 Baidya N. Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald Bowden, Jasmin Divers, Barry I. Freedman, and Joseph A. Maldjian

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Session 4: Machine Learning in Bio-informatics and Computational Biology II Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests ...................................................................................................................................96 Chiou-Yi Hor, Chang-Biau Yang, Zih-Jie Yang, and Chiou-Ting Tseng Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data .......................................................................................................................................102 Rania Ibrahim, Naglaa Ahmed, Noha A. Yousri, and Mohamed A. Ismail Network Transformation of Gene Expression for Feature Extraction .......................................................108 Rémy Nicolle, Mohamed Elati, and François Radvanyi Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules ............................................................................................................114 Dingding Wang, Mitsunori Ogihara, Erliang Zeng, and Tao Li Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence ................................................................................................................................................120 Gonzalo A. Ruz, Tania Timmermann, and Eric Goles Incorporating Gene Significance in the Impact Analysis of Signaling Pathways ......................................126 Calin Voichita, Michele Donato, and Sorin Draghici

Session 5: Kernel and Re-inforcement Learning Differentiable Kernels in Generalized Matrix Learning Vector Quantization .............................................132 Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, and Thomas Villmann Monte Carlo Tree Search for Bayesian Reinforcement Learning .............................................................138 Ngo Anh Vien and Wolfgang Ertel An Inverse Reinforcement Learning Algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management .............................................................144 Hamid R. Chinaei and Brahim Chaib-Draa Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning .........................................................150 Arina Buzdalova and Maxim Buzdalov pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods ....................................................................................................................156 Antoine Veillard, Daniel Racoceanu, and Stéphane Bressan

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Session 6: Structure, Manifold and Bayesian Learning Deep Structure Learning: Beyond Connectionist Approaches .................................................................162 Ben Mitchell and John Sheppard Balancing Public Cycle Sharing Schemes Using Independent Learners .................................................168 Jeremiah Smith, Luke Dickens, and Krysia Broda Semi-supervised Non-negative Patch Alignment Framework ..................................................................174 Long Lan, Xuhui Huang, Naiyang Guan, Zhigang Luo, and Xiang Zhang

Session 7: Machine Learning Methods for Bio-medical Application Estimating Hospital Admissions with a Randomized Regression Approach ............................................179 Kleber A. Garcia and Philip K. Chan Coupled Directional Level Set for MR Image Segmentation ....................................................................185 Xianjing Qin, Yang Liu, Hongbing Lu, Xuelong Li, and Pingkun Yan Stereo Matching Based on Random Speckle Projection for Dynamic 3D Sensing .....................................................................................................................................................191 Jun Jiang, Jun Cheng, and Haifeng Zhao Semantic Data Types in Machine Learning from Healthcare Data ...........................................................197 Janusz Wojtusiak A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain .........................................................203 Sriraam Natarajan, Saket Joshi, Baidya N. Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, and Joseph A. Maldjian

Session 8: Classification Methods Minimal Norm Support Vector Machines for Large Classification Tasks ..................................................209 Robert Strack and Vojislav Kecman Fast Time Series Classification Based on Infrequent Shapelets ..............................................................215 Qing He, Zhidong, Fuzhen Zhuang, Tianfeng Shang, and Zhongzhi Shi Cost-Sensitive Universum-SVM ...............................................................................................................220 Sauptik Dhar and Vladimir Cherkassky A Hybrid Transfer Learning Mechanism for Object Classification across View ........................................226 Yi Mo, Zhaoxiang Zhang, and Yunhong Wang Location Type Classification Using Tweet Content ..................................................................................232 Haibin Liu, Bo Luo, and Dongwon Lee

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Session 9: Machine Learning Application Topological Indoor Localization & Navigation for Autonomous Industrial Mobile Manipulator ...............................................................................................................................................238 Hongtai Cheng, Heping Chen, and Yong Liu Estimating the Convection Heat Transfer Coefficient of a Run-Out Cooling Table in a Steel-Making Process by Neural Networks ..............................................................................244 Gláucio Barros Barcelos, Douglas Alexandre Gomes Vieira, Rodney Rezende Saldanha, and Luciano Lellis Miranda Writing with Style: Venue Classification ....................................................................................................250 Zaihan Yang and Brian D. Davison Incorporating Incremental and Active Learning for Scene Classification .................................................256 Xianglin Li, Runqiu Guo, and Jun Cheng Augmented Coupled Dictionary Learning for Image Super-Resolution ....................................................262 Muhammad Rushdi and Jeffrey Ho Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection ......................................................................................................................268 Janell Duhaney, Taghi M. Khoshgoftaar, and Amri Napolitano

Session 10: Data Categorization, Data Visualization and Numerical Optimization Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization ..............................................................................................................................................276 Yanjiang Wang, Chengna Yuan, and Weifeng Liu Online Recovery of Missing Values in Vital Signs Data Streams Using Low-Rank Matrix Completion ....................................................................................................................281 Shiming Yang, Konstantinos Kalpakis, Colin F. Mackenzie, Lynn G. Stansbury, Deborah M. Stein, Thomas M. Scalea, and Peter F. Hu Analysis of Causality in Stock Market Data ..............................................................................................288 Chathra Hendahewa and Vladimir Pavlovic An Efficient Algorithm for top-k Queries on Uncertain Data Streams .......................................................294 Caiyan Dai, Ling Chen, Yixin Chen, and Keming Tang Perceptual User Study for Combined Treemap ........................................................................................300 Jie Liang, Mao Lin Huang, and Quang Vinh Nguyen

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Session 11: Feature Selection and Fusion Feature Mapping and Fusion for Music Genre Classification ...................................................................306 Haythem Balti and Hichem Frigui Multi-atlas Based Image Selection with Label Image Constraint ..............................................................311 Yihui Cao, Xuelong Li, and Pingkun Yan An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data .......................................................................................................................317 Huanjing Wang, Taghi M. Khoshgoftaar, and Amri Napolitano Supervised Low Rank Matrix Approximation for Stable Feature Selection ..............................................324 Salem Alelyani and Huan Liu Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine .............................................................................................330 Janell Duhaney, Taghi M. Khoshgoftaar, and Randall Wald

Session 12: Machine Learning Methods for Data Analysis Backtracking for More Efficient Large Scale Dynamic Programming .......................................................338 Charles Tripp and Ross Shachter Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps .........................................................................................................................................................344 Salomao Sampaio Madeiro and Fernando Jose Von Zuben Randomized Sampling for Large Data Applications of SVM ....................................................................350 Erik M. Ferragut and Jason Laska Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition ......................................................................................................356 Jan Chorowski and Jacek Zurada

Session 13: Probabilistic and Model Based Learning Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application ................................................................................................................362 Wentao Fan and Nizar Bouguila Personalized Recommendation in Folksonomies Using a Joint Probabilistic Model of Users, Resources and Tags ......................................................................................................368 Muzaffer Ege Alper and Şule Gündüz Öğüdücü Pattern Identification Using Reconstructed Phase Space and Hidden Markov Model ........................................................................................................................................................374 Wenjing Zhang and Xin Feng

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Session 14: Clustering Methods Compressive Clustering of High-Dimensional Data ..................................................................................380 Andrzej Ruta and Fatih Porikli Binary Function Clustering Using Semantic Hashes ................................................................................386 Wesley Jin, Sagar Chaki, Cory Cohen, Arie Gurfinkel, Jeffrey Havrilla, Charles Hines, and Priya Narasimhan Automated Storage Tiering Using Markov Chain Correlation Based Clustering ......................................392 Malak Alshawabkeh, Alma Riska, Adnan Sahin, and Motasem Awwad

Session 15: Graph-Based Learning A Comparison of Graph Embedding Methods for Vertex Nomination ......................................................398 Ming Sun, Minh Tang, and Carey E. Priebe Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering ...........................................................................................................................404 Naiyang Guan, Xuhui Huang, Long Lan, Zhigang Luo, and Xiang Zhang Can Frequent Itemset Mining Be Efficiently and Effectively Used for Learning from Graph Data? .....................................................................................................................................409 Thashmee Karunaratne and Henrik Boström Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning ...........................................................................415 Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, and Itamar Arel

Session 16: Multi-strategy, Multi-label, Multi-objective Learning Cost-Sensitive Multi-strategy Active Annotation for Text Classification ...................................................421 Shilpa Arora, Pinar Donmez, and Eric Nyberg Multi-label Collective Classification Using Adaptive Neighborhoods ........................................................427 Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms .......................................433 Martin Pilát and Roman Neruda

Poster Presentation Session Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification .......................................................................................................................................439 Yifeng Li and Alioune Ngom A Series Inspired CPG Model for Robot Walking Control .........................................................................444 Jiaqi Zhang, Xianchao Zhao, and Chenkun Qi

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CPG and Reflexes Combined Adaptive Walking Control for AIBO ..........................................................448 Xianchao Zhao, Jiaqi Zhang, and Chenkun Qi Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data ......................................................................................454 Atif Khan, John A. Doucette, Robin Cohen, and Daniel J. Lizotte Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers ...............................................................................................................................458 Jelena Slivka, Ping Zhang, Aleksandar Kovačević, Zora Konjović, and Zoran Obradović Scalable Overlapping Co-clustering of Word-Document Data .................................................................464 Fabrício Olivetti De França Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations ....................................................................................................................468 Dawei Li, Lihong Xu, and Erik Goodman Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches ................................................................................................................................473 Jaime S. Cardoso, Ricardo Sousa, and Inês Domingues Interval-Valued Centroids in K-Means Algorithms ....................................................................................478 Benjamine Nordin, Chenyi Hu, Bernard Chen, and Victor S. Sheng A Novel Approach to Detect Smile Expression .........................................................................................482 Yuanzhi Zhang, Li Zhou, and Tao Sun Structure Learning for Bayesian Networks Using the Physarum Solver ..................................................488 Torsten Schön, Martin Stetter, and Elmar W. Lang An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation .................................................................................................................................494 Ingo Glöckner and Karl-Heinz Weis Using Local Regression in Monte Carlo Tree Search ...............................................................................500 Arisoa S. Randrianasolo and Larry D. Pyeatt An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection ....................................................................................................................................504 Arisoa S. Randrianasolo and Larry D. Pyeatt Taxonomic Dimensionality Reduction in Bayesian Text Classification .....................................................508 Richard McAllister and John Sheppard Artificial Neural Network for Prediction of Ethnicity Based on Iris Texture ...............................................514 Anahita Zarei and Duxing Mou Semantic Indexing of Video Simulations for Enhancing Medical Care During Crises ........................................................................................................................................................520 Shuangshuang Jiang, Hichem Frigui, and Aaron W. Calhoun

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Unsupervised Anomaly Detection in Transactional Data .........................................................................526 Mohamed Bouguessa Riemannian Shape Analysis Based on Meridian Curves .........................................................................532 Shuisheng Xie, Jundong Liu, and Charles D. Smith The Assessment of the Quality of Sugar Using Electronic Tongue and Machine Learning Algorithms ............................................................................................................538 Tiemi C. Sakata, Katti Faceli, Tiago A. Almeida, Antonio Riul Júnior, and Wanessa M. D. M. F. Steluti A Normalized Criterion of Spatial Clustering in Model-Based Framework ...............................................542 X.Z. Wang, E. Grall-Maës, and P. Beauseroy Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach ..................................................................................548 Meena Abdelmaseeh, Pascal Poupart, Benn Smith, and Daniel Stashuk Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data ................................................................................................................554 James L. Carroll and Christopher D. Tomkins Regularized Probabilistic Latent Semantic Analysis with Continuous Observations .............................................................................................................................................560 Hao Zhang, Richard Edwards, and Lynne Parker A Statistical Associative Classifier with Automatic Estimation of Parameters on Computer Aided Diagnosis ..................................................................................................................564 Carolina Y. V. Watanabe, Marcela X. Ribeiro, Agma J. M. Traina, and Caetano Traina Jr Mining Web to Detect Phishing URLs .......................................................................................................568 Ram B. Basnet and Andrew H. Sung Macro-action Discovery Based on Change Point Detection and Boosting ...............................................574 Leonidas Lefakis and François Fleuret A Multi-label and Adaptive Genre Classification of Web Pages ...............................................................578 Chaker Jebari and M. Arif Wani Identifying Accuracy of Social Tags by Using Clustering Representations of Song Lyrics ...........................................................................................................................................582 Yajie Hu and Mitsunori Ogihara Enhanced Multiagent Multi-objective Reinforcement Learning for Urban Traffic Light Control .............................................................................................................................................586 Mohamed Abdelaziz Khamis and Walid El-Sayed Ali Gomaa On the Use of SVMs to Detect Anomalies in a Stream of SIP Messages ................................................592 Raihana Ferdous, Renato Lo Cigno, and Alessandro Zorat

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Decremental Learning of Evolving Fuzzy Inference Systems Using a Sliding Window .....................................................................................................................................................598 Manuel Bouillon, Eric Anquetil, and Abdullah Almaksour Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection .................................................................................................................602 Allou Samé and Gérard Govaert Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization .............................................................................................................................................606 Tolga Ensari, Jan Chorowski, and Jacek M. Zurada Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach ..................................................................................................................................................610 Stefanos Doltsinis, Pedro Ferreira, and Niels Lohse Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections ...............................................................................................................................616 Amin Assareh, L. Gwenn Volkert, and Jing Li Scalable Ensemble Learning by Adaptive Sampling ................................................................................622 Jianhua Chen Tensor-Based Temporal Behavior Analysis in Pain Medicine ..................................................................626 Andy Hall, Guangzhi Qu, Ishwar K. Sethi, and Craig Hartrick Prediction of Protein Structures Using GPU Based Simulated Annealing ................................................630 Hui Li and Chunmei Liu Assessing Encoding Techniques through Correlation-Based Metrics ......................................................634 Prof. Giuliano Armano and Dr. Emanuele Tamponi Predicting Congressional Votes Based on Campaign Finance Data .......................................................640 Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, and Mario Frank Polynomial Correlation Filters for Human Face Recognition ....................................................................646 Mohamed Alkanhal and Ghulam Muhammad Block Level Video Steganalysis Scheme ..................................................................................................651 Kesav Kancherla and Srinivas Mukkamala Estimation of Susceptibility to Landslides Using Neural Networks Based on the FALCON-ART Model ..........................................................................................................................655 A. Viloria, C. Chang, M.C. Pineda, and J. Viloria Prediction of the Calcium and Magnesium Content in Soils through a Generalized Regression Neural Networks and Genetic Algorithms ......................................................661 Y. Labrador, C. Chang, and J. Viloria A New Continuum Regression Method for Quantitative Analysis of Raman Spectrum ..................................................................................................................................................667 Shuo Li, Jean Gao, James O. Nyagilo, and Digant P. Dave

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A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer ..................................................................................................................................671 Simeng Yue and Seiichi Ozawa Numerical Solution of Dirichlet Boundary Value Problems for Partial Differential Equations Using Quantum-Behaved Particle Swarm Optimization with Random Gaussian Function ..............................................................................................................675 Youngmin Ha Venue Recommendation: Submitting Your Paper with Style ...................................................................681 Zaihan Yang and Brian D. Davison A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes .................................................................................................................................................687 Rassool Fakoor and Manfred Huber Age-Group Classification of Facial Images ...............................................................................................693 Li Liu, Jianming Liu, and Jun Cheng A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems ..................................................................................................................................697 Tummalapalli Sudhamsh Reddy, Gergely Zaruba, and Manfred Huber Author Index - Volume 1 ........................................................................................................................703

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2012 11th International Conference on Machine Learning and Applications (ICMLA 2012)

Boca Raton, Florida, USA 12 – 15 December 2012

Volume 2 Pages 1-598

IEEE Catalog Number: ISBN:

2/2

CFP12592-PRT 978-1-4673-4651-1

2012 11th International Conference on Machine Learning and Applications

ICMLA 2012 Table of Contents

Volume - 2 Preface - Volume 2.....................................................................................................................................xv Conference Organization - Volume 2......................................................................................................xvii Program Committee - Volume 2...............................................................................................................xix Workshops and Special Sessions - Volume 2......................................................................................xxiii Keynotes - Volume 2..............................................................................................................................xxviii

Workshop A: Machine Learning Algorithms, Systems and Application Workshop A: Regular Papers Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark ......................................................................................................................1 Antoine Chammas, Eric Duviella, and Stéphane Leceouche A Machine Learning Based Topic Exploration and Categorization on Surveys ...........................................7 Clint P. George, Daisy Zhe Wang, Joseph N. Wilson, Liana M. Epstein, Philip Garland, and Annabell Suh Error-Driven Adaptive, Virtual Machine Model-Based Control with High Availability Platform ....................................................................................................................................13 Aman H. Bura, Bo Chen, and Li Yu Improving Image Segmentation Using Genetic Algorithm ..........................................................................18 Huynh Thi Thanh Binh, Mai Dinh Loi, and Nguyen Thi Thuy The Importance of Outlier Relationships in Mobile Call Graphs .................................................................24 Derek Doran, Veena Mendiratta, Chitra Phadke, and Huseyin Uzunalioglu

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Toward a Sequential Approach to Pipelined Image Recognition ...............................................................30 Derek Rose and Itamar Arel Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation .....................................................................................................36 Ondřej Kazík, Klára Pešková, Martin Pilát, and Roman Neruda Estimating Software Effort Using an ANN Model Based on Use Case Points ...........................................42 Ali Bou Nassif, Luiz Fernando Capretz, and Danny Ho

Workshop A: Short Papers Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks ....................................................................48 F.A.A. Queiroz, D.A.G. Vieira, X.L. Travassos, and M.F. Pantoja Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection ...............................................................................................................................54 Steven Robert Young and Itamar Arel Extraction of Strong Associations in Classes of Similarities .......................................................................56 Ismaïl Biskri, Louis Rompré, Steve Descoteaux, Abdelghani Achouri, and Boucif Amar Benasaber Generation of Tests for Programming Challenge Tasks on Graph Theory Using Evolution Strategy ............................................................................................................................62 Maxim Buzdalov Adaptive Selection of Helper-Objectives with Reinforcement Learning .....................................................66 Arina Buzdalova and Maxim Buzdalov Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters ................................................................................................................................................68 Nidhi Singh and Shrisha Rao

Workshop B: Class Imbalances on Past, Present and Future (CIPPF 2012) Workshop B: Regular Papers A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study ........................................................................................................72 Samaneh Sheikh-Nia, Gary Grewal, and Shawki Areibi Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection .......................................................................................................................................78 Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, and Bao Nguyen

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Disturbing Neighbors Ensembles of Trees for Imbalanced Data ................................................................83 Juan J. Rodríguez, José F. Díez-Pastor, Jesús Maudes, and César García-Osorio Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data ............................................................................................................................................................89 Rok Blagus and Lara Lusa An Experimental Design to Evaluate Class Imbalance Treatment Methods ..............................................95 Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, and Ronaldo Cristiano Prati One-Class versus Binary Classification: Which and When? ....................................................................102 Colin Bellinger, Shiven Sharma, and Nathalie Japkowicz Multilevel Regression Models for Learning in the Presence of Rare Data ...............................................107 Srinath Ravindran and Dennis Bahler A Dynamic Sampling Framework for Multi-class Imbalanced Data ..........................................................113 B. Debowski, S. Areibi, G. Grewal, and J. Tempelman

Workshop B: Short Papers A Boosting Method for Learning from Uneven Data for Improved Face Recognition ...............................................................................................................................................119 Xiaohui Yuan and Mohamed Abouelenien The Class-Imbalance Problem for High-Dimensional Class Prediction ....................................................123 Lara Lusa and Rok Blagus

Workshop C: Machine Learning and Applications in Health Informatics Workshop C: Regular Papers PQL: Protein Query Language .................................................................................................................127 Sherif Elfayoumy and Paul Bathen Risk Estimation in Spatial Disease Clusters: An RBF Network Approach ................................................133 Fernanda C. Takahashi and Ricardo H. C. Takahashi Novel Margin Features for Mammographic Mass Classification ..............................................................139 Ali Bagheri-Khaligh, Ali Zarghami, and M.T. Manzuri-Shalmani Analyzing the Performance of Hierarchical Binary Classifiers for Multi-class Classification Problem Using Biological Data ...........................................................................................145 Salma Begum and Ramazan S. Aygun First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques ..............................................................................................................151 Taghi Khoshgoftaar, David Dittman, Randall Wald, and Alireza Fazelpour

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Sampling-Based Subnetwork Identification from Microarray Data and Protein-Protein Interaction Network ...................................................................................................158 Xiao Wang, Jinghua Gu, Jianhua Xuan, Ayesha N. Shajahan, Robert Clarke, and Li Chen Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology .........................................................................................................................................164 Kaya Kuru, Mahesan Niranjan, and Yusuf Tunca A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers ...............................................................................................................170 Randall Wald, Taghi Khoshgoftaar, and David Dittman Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data .............................................................................178 George Mathew and Zoran Obradovic Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach .................................................................................................................184 David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, and Amri Napolitano Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data ..........................................................................................................................................................192 Tim Oates, Colin F. Mackenzie, Lynn G. Stansbury, Bizhan Aarabi, Deborah M. Stein, and Peter F. Hu The Effect of Number of Iterations on Ensemble Gene Selection ............................................................198 Wael Awada, Taghi M. Khoshgoftaar, David Dittman, and Randall Wald

Workshop C: Short Papers Clinical Report Classification Using Natural Language Processing and Topic Modeling ...................................................................................................................................................204 Efsun Sarioglu, Hyeong-Ah Choi, and Kabir Yadav

Special Session I: Machine Learning in Information and System Security Issues Special Session I: Regular Papers A New, Principled Approach to Anomaly Detection ..................................................................................210 Erik M. Ferragut, Jason Laska, and Robert A. Bridges Web Spam: A Study of the Page Language Effect on the Spam Detection Features ....................................................................................................................................................216 Abdulrahman Alarifi and Mansour Alsaleh A Web Based Face Counter Prediction System from Only Fingerprints ..................................................222 Seref Sagiroglu and Uraz Yavanoglu

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An Analysis of Machine Learning Methods for Spam Host Detection ......................................................227 Renato M. Silva, Akebo Yamakami, and Tiago A. Almeida A New Intelligent Steganalysis Method for Waveform Audio Files ...........................................................233 Uraz Yavanoglu, Burak Ozcakmak, and Ozlem Milletsever On the Validity of a New SMS Spam Collection .......................................................................................240 José María Gómez Hidalgo, Tiago A. Almeida, and Akebo Yamakami

Special Session II: Information Visualization in Machine Learning and Applications Special Session II: Regular Papers Interactive Visual Classification of Multivariate Data ................................................................................246 Ke-Bing Zhang, Mehmet A. Orgun, Rajan Shankaran, and Du Zhang A New Axes Re-ordering Method in Parallel Coordinates Visualization ...................................................252 Liang Fu Lu, Mao Lin Huang, and Tze-Haw Huang An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis .........................................258 Tze-Haw Huang, Mao Lin Huang, and Kang Zhang Fast Insight into High-Dimensional Parametrized Simulation Data ..........................................................265 Daniel Butnaru, Benjamin Peherstorfer, Hans-Joachim Bungartz, and Dirk Pflüger

Special Session II: Short Papers Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System .........................................................................271 Jieun Kim and Woo Young Jung

Special Session III: Machine Learning Applications in Software Engineering Special Session III: Regular Papers Optimal Tile Size Selection Problem Using Machine Learning ................................................................275 Abid M. Malik A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction ..................................................................................................................281 Kehan Gao, Taghi M. Khoshgoftaar, and Amri Napolitano Active Learning of Markov Decision Processes for System Verification ..................................................289 Yingke Chen and Thomas Dyhre Nielsen Machine Learning Module to Improve Communication between Agents in Multi-agent System ...............................................................................................................................295 Shimaa M. El-Sherif, Behrouz Far, and Armin Eberlein

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A Comparative Study on the Stability of Software Metric Selection Techniques ......................................301 Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, and Amri Napolitano The State of Machine Learning Methodology in Software Fault Prediction ..............................................308 Tracy Hall and David Bowes A Treeboost Model for Software Effort Estimation Based on Use Case Points .......................................314 Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, and Mohammad Azzeh Fuzzy-ExCOM Software Project Risk Assessment ..................................................................................320 Ekananta Manalif, Luiz Fernando Capretz, Ali Bou Nassif, and Danny Ho

Special Session IV: Machine Learning with Multimedia Data Special Session IV: Regular Papers Cross-Domain Facial Expression Recognition Using Supervised Kernel Mean Matching ...................................................................................................................................................326 Yun-Qian Miao, Rodrigo Araujo, and Mohamed S. Kamel Automatic Identification of Crisis-Related Sub-events Using Clustering ..................................................333 Daniela Pohl, Abdelhamid Bouchachia, and Hermann Hellwagner Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context ..................................................................................................................................339 Corina Iovan, David Picard, Nicolas Thome, and Matthieu Cord Composer Classification in Symbolic Data Using PPM ............................................................................345 Antonio Deusany De Carvalho Junior and Leonardo Vidal Batista Melodic Segmentation Using the Jensen-Shannon Divergence ..............................................................351 Marcelo, Enrique, Rodríguez, López, and Anja Volk Rethinking Automatic Chord Recognition with Convolutional Neural Networks .......................................357 Eric J. Humphrey and Juan P. Bello A Minimum Frame Error Criterion for Hidden Markov Model Training .....................................................363 Taemin Cho, Kibeom Kim, and Juan P. Bello Classification, Segmentation and Chronological Prediction of Cinematic Sound .....................................369 Pedro Silva

Special Session V: Learning on the Web (LW) Special Session V: Regular Papers Animal Cognition, Epistemic Fluency, Social Networks and the Scientific Habit of Mind ......................................................................................................................................................375 Donald M. Morrison and Hu Xiangen

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Hierarchical Classification Approach to Emotion Recognition in Twitter ..................................................381 Ahmed A.A. Esmin, Roberto L. De Oliveira Jr., and Stan Matwin Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets ....................................................................................................................................386 Chris Sumner, Alison Byers, Rachel Boochever, and Gregory J. Park Using Twitter Content to Predict Psychopathy .........................................................................................394 Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, and Chris Sumner Large Scale URL-based Classification Using Online Incremental Learning .............................................402 Nidhi Singh, Harsimrat Sandhawalia, Nicolas Monet, Herve Poirier, and Jean-Marc Coursimault Machine Learning and Text Mining of Trophic Links ................................................................................410 Ghazal Afroozi Milani, David Bohan, Stuart Dunbar, Stephen Muggleton, Alan Raybould, and Alireza Tamaddoni-Nezhad

Special Session VI: Adaptive and Dynamic Modeling in Non-stationary Environments Special Session VI: Regular Papers Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals ......................................................................................................................................................416 David Hofmann and J. Michael Herrmann Maintaining Prior Distributions across Evolving Eigenspaces: An Application to Portfolio Construction ...........................................................................................................................422 Kevin R. Keane and Jason J. Corso Adaptive Soft Sensor for Online Prediction Based on Moving Window Gaussian Process Regression .................................................................................................................428 Ratko Grbić, Dražen Slišković, and Petr Kadlec Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems ..........................................434 Moamar Sayed-Mouchaweh and Patrice Billaudel Evolving Neural Fuzzy Network with Adaptive Feature Selection ............................................................440 Alisson Marques Silva, Walmir Matos Caminhas, André Paim Lemos, and Fernando Gomide Moving Object Detection in Aerial Video ..................................................................................................446 Yunfei Wang, Zhaoxiang Zhang, and Yunhong Wang

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Special Session VI: Short Papers An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements ................................................................................................................451 S. Hunt, Q. Meng, and C.J. Hinde

Special Session VII: Machine Learning in Energy Applications Special Session VII: Regular Papers Artificial Intelligence Based Hybrid Structures for Short-Term Load Forecasting Without Temperature Data .......................................................................................................................457 İdil Işikli Esener, Tolga Yüksel, and Mehmet Kurban A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks ......................................................................................................................................463 Sami S. Alwakeel and Najla A. Al-Nabhan The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA ...........................................469 Ji Wu and C.K. Chan Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations .......................................475 D.A.G. Vieira, M.M.A. Cabral, T.V. Menezes, B.E. Silva, and A.C. Lisboa Finding Motifs in Wind Generation Time Series Data ...............................................................................481 Chandrika Kamath and Ya Ju Fan Position Control of a DC Motor Used in Solar Panels with Artificial Neural Network .....................................................................................................................................................487 Murat Sahin, H. Ibrahim Bulbul, and Ilhami Colak Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm ...............................................................................493 V. Ten, N. Isembergenov, Y. Akhmetbekov, D. Sarbassov, A. Iglikov, and B. Matkarimov Application of Adaptive Artificial Neural Network Method to Model the Excitation Currents of Synchronous Motors .......................................................................................498 Ramazan Bayindir, Ilhami Colak, Seref Sagiroglu, and Hamdi Tolga Kahraman A Novel Neural Network Based Control Method with Adaptive On-Line Training for DC-DC Converters ................................................................................................................503 Hidenori Maruta, Masashi Motomura, and Fujio Kurokawa Multivariate Assessment of a Repair Program for a New York City Electrical Grid ...........................................................................................................................................................509 Rebecca J. Passonneau, Ashish Tomar, Somnath Sarkar, Haimonti Dutta, and Axinia Radeva xii

Unsupervised Disaggregation for Non-intrusive Load Monitoring ............................................................515 Sundeep Pattem Excitation Current Forecasting for Reactive Power Compensation in Synchronous Motors: A Data Mining Approach ....................................................................................521 Ramazan Bayindir, Mehmet Yesilbudak, Ilhami Colak, and Seref Sagiroglu Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network ......................................................................................................................................526 Onur Keskin, İSmet Ateş, Ziya Haktan Karadeniz, Alpaslan Turgut, and Zeki KıRal

Special Session VIII: Machine Learning Ensemble Methods and Applications Special Session VIII: Regular Papers Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection ......................................531 Janell Duhaney and Taghi M. Khoshgoftaar Exploiting Representational Diversity for Time Series Classification .......................................................538 Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph Dubose, Bizhan Aarabi, and Peter F. Hu Finding Survival Groups in SEER Lung Cancer Data ...............................................................................545 Iryna Skrypnyk A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data ......................................................551 Jason Van Hulse, Taghi M. Khoshgoftaar, and Amri Napolitano Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks ...................................................................................................................................................558 Aaron Mishtal and Itamar Arel O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models .........................................563 Aditya Sriram and Feng Luo A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set .............................................................................................................................................................569 Jamil Alshaqsi and Wenjia Wang

Special Session IX: ICMLA 2012 Avatar Face Recognition Challenge Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification ...............................................................................................................574 Toshihiko Yamasaki and Tsuhan Chen Convolutional Neural Networks Applied to Human Face Classification ...................................................580 Brian Cheung

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Learning Visual Features for the Avatar Captcha Recognition Challenge ...............................................584 Mohammed Korayem, Abdallah A. Mohamed, David Crandall, and Roman V. Yampolskiy Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge ............................................588 Salem Alelyani and Huan Liu ICMLA Face Recognition Challenge – Results of the Team Computational Intelligence Mittweida ...............................................................................................................................592 Thomas Villmann, Marika Kästner, David Nebel, and Martin Riedel Author Index - Volume 2 .......................................................................................................................596

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